README.md

metadata

title: Subdivision Plan Analyzer
emoji: 📐
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.32.1
app_file: app.py
pinned: false
license: mit

📐 Subdivision Plan Analyzer

An AI-powered tool to extract lot information from subdivision plans using OCR and computer vision.

Features

• Automatic Lot Detection: Uses computer vision to identify lot boundaries
• OCR Text Extraction: Extracts lot numbers, dimensions, and areas
• Smart Association: Matches text to corresponding lot boundaries
• Visual Annotation: Shows detected lots with colored overlays
• Data Export: Download results as CSV file
• Summary Statistics: Provides lot count, total area, and averages

How to Use

1. Upload Image: Upload a subdivision plan in PNG or JPG format
2. Adjust Settings:
   • Scale: Set the plan scale (default 1:1000)
   • Confidence: Adjust OCR confidence threshold (0.5-0.95)
3. Process: Click "Extract Lots" to analyze the plan
4. Review Results: Check the extracted data in the table
5. Export: Download the results as a CSV file

What Gets Extracted

• Lot Numbers: 3-4 digit identifiers (100-9999)
• Dimensions: Frontage and depth measurements in meters
• Areas: Lot areas in square meters (m²)
• Lot Types: Classification as Standard, Corner, or Small lots

Tips for Best Results

• Use high-resolution images with clear text
• Ensure lot numbers and measurements are legible
• Plans with consistent formatting work best
• Adjust confidence threshold if too many/few items detected

Technical Details

• OCR Engine: EasyOCR with English language model
• Image Processing: OpenCV for boundary detection
• Pattern Matching: Regular expressions for data extraction
• UI Framework: Gradio for web interface

Note

First run may take a few minutes as the OCR models download (approximately 64MB).

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Made with ❤️ using Gradio and EasyOCR